Patents by Inventor Peter Joseph Angerani

Peter Joseph Angerani has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11243993
    Abstract: A document relationship analysis system. Aspects of the system include ingesting, discovering, recommending, analyzing, and exporting documents of interest. The system dynamically searches large or streaming datasets using a tiered, multi-step approach that includes discovery techniques and recommender components to filter and refine these larger datasets to smaller datasets of documents of interest. The system dynamically selects and renders an appropriate visualization for result datasets based on predetermined measures that allow for facilitate analysis of the documents of interest.
    Type: Grant
    Filed: August 26, 2019
    Date of Patent: February 8, 2022
    Assignee: VortexT Analytics, Inc.
    Inventors: Matthew Cody Lambert, Peter Joseph Angerani, Gregory David Ostermayr
  • Publication number: 20200233888
    Abstract: A document relationship analysis system. Aspects of the system include ingesting, discovering, recommending, analyzing, and exporting documents of interest. The system dynamically searches large or streaming datasets using a tiered, multi-step approach that includes discovery techniques and recommender components to filter and refine these larger datasets to smaller datasets of documents of interest. The system dynamically selects and renders an appropriate visualization for result datasets based on predetermined measures that allow for facilitate analysis of the documents of interest.
    Type: Application
    Filed: August 26, 2019
    Publication date: July 23, 2020
    Inventors: Matthew Cody Lambert, Peter Joseph Angerani, Gregory David Ostermayr
  • Patent number: 10394875
    Abstract: A document relationship analysis system. Aspects of the system include ingesting, discovering, recommending, analyzing, and exporting documents of interest. The system dynamically searches large or streaming datasets using a tiered, multi-step approach that includes discovery techniques and recommender components to filter and refine these larger datasets to smaller datasets of documents of interest. The system dynamically selects and renders an appropriate visualization for result datasets based on predetermined measures that allow for facilitate analysis of the documents of interest.
    Type: Grant
    Filed: February 16, 2018
    Date of Patent: August 27, 2019
    Assignee: VortexT Analytics, Inc.
    Inventors: Matthew Cody Lambert, Peter Joseph Angerani, Gregory David Ostermayr
  • Patent number: 9928295
    Abstract: A document relationship analysis system. Aspects of the system include ingesting, discovering, recommending, analyzing, and exporting documents of interest. The system dynamically searches large or streaming datasets using a tiered, multi-step approach that includes discovery techniques and recommender components to filter and refine these larger datasets to smaller datasets of documents of interest. The system dynamically selects and renders an appropriate visualization for result datasets based on predetermined measures that allow for facilitate analysis of the documents of interest.
    Type: Grant
    Filed: February 2, 2015
    Date of Patent: March 27, 2018
    Assignee: Vortext Analytics, Inc.
    Inventors: Matthew Cody Lambert, Peter Joseph Angerani, Gregory David Ostermayr
  • Publication number: 20150220539
    Abstract: A document relationship analysis system. Aspects of the system include ingesting, discovering, recommending, analyzing, and exporting documents of interest. The system dynamically searches large or streaming datasets using a tiered, multi-step approach that includes discovery techniques and recommender components to filter and refine these larger datasets to smaller datasets of documents of interest. The system dynamically selects and renders an appropriate visualization for result datasets based on predetermined measures that allow for facilitate analysis of the documents of interest.
    Type: Application
    Filed: February 2, 2015
    Publication date: August 6, 2015
    Applicant: Global Security Information Analysts, LLC
    Inventors: Matthew Cody Lambert, Peter Joseph Angerani, Gregory David Ostermayr